Google Scholar Author Citation API

You have to send a GET request to http://api.scrapingdog.com/google_scholar/author with the below-given parameters.

Parameters

API Example

cURL "https://api.scrapingdog.com/google_scholar/author?api_key=APIKEY&author_id=LSsXyncAAAAJ&view_op=view_citation&citation_id=LSsXyncAAAAJ:2osOgNQ5qMEC"

Response

{
  "citations": {
    "title": "Model-based analysis of ChIP-Seq (MACS)",
    "link": "https://link.springer.com/article/10.1186/GB-2008-9-9-R137",
    "resources": [
      {
        "title": "from springer.com",
        "file_format": "HTML",
        "link": "https://link.springer.com/article/10.1186/GB-2008-9-9-R137"
      },
      {
        "file_format": "",
        "link": "https://link.springer.com/content/pdf/10.1186/gb-2008-9-9-r137.pdf"
      }
    ],
    "authors": "Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S Johnson, Bradley E Bernstein, Chad Nusbaum, Richard M Myers, Myles Brown, Wei Li, X Shirley Liu",
    "publication_date": "2008/11",
    "journal": "Genome biology",
    "volume": "9",
    "pages": "1-9",
    "publisher": "BioMed Central",
    "description": "               We present Model-based Analysis of ChIP-Seq data, MACS, which analyzes data generated by short read sequencers such as Solexa's Genome Analyzer. MACS empirically models the shift size of ChIP-Seq tags, and uses it to improve the spatial resolution of predicted binding sites. MACS also uses a dynamic Poisson distribution to effectively capture local biases in the genome, allowing for more robust predictions. MACS compares favorably to existing ChIP-Seq peak-finding algorithms, and is freely available.",
    "total_citations": {
      "cited_by": {
        "total": "16193",
        "link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=14252090027271643524&as_sdt=5",
        "scrapingdog_link": "https://api.scrapingdog.com/google_scholar?api_key=64ba3a568de9be3484544209&cites=14252090027271643524&hl=en",
        "cites_id": "14252090027271643524"
      },
      "table": [
        {
          "year": "2010",
          "citations": "129"
        },
        {
          "year": "2011",
          "citations": "254"
        },
        {
          "year": "2012",
          "citations": "372"
        },
        {
          "year": "2013",
          "citations": "476"
        },
        {
          "year": "2014",
          "citations": "676"
        },
        {
          "year": "2015",
          "citations": "697"
        },
        {
          "year": "2016",
          "citations": "815"
        },
        {
          "year": "2017",
          "citations": "982"
        },
        {
          "year": "2018",
          "citations": "1147"
        },
        {
          "year": "2019",
          "citations": "1420"
        },
        {
          "year": "2020",
          "citations": "1546"
        },
        {
          "year": "2021",
          "citations": "1968"
        },
        {
          "year": "2022",
          "citations": "1943"
        },
        {
          "year": "2023",
          "citations": "2019"
        },
        {
          "year": "2024",
          "citations": "1647"
        }
      ]
    },
    "scholar_articles": [
      {
        "title": "Model-based analysis of ChIP-Seq (MACS)",
        "link": "https://www.google.com/scholar?oi=bibs&cluster=14252090027271643524&btnI=1&hl=en",
        "authors": "Y Zhang, T Liu, CA Meyer, J Eeckhoute, DS Johnson… - Genome biology, 2008",
        "cited_by": {
          "total": "16193",
          "link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cites=14252090027271643524&as_sdt=5",
          "scrapingdog_link": "https://api.scrapingdog.com/google_scholar?api_key=64ba3a568de9be3484544209&cites=14252090027271643524&hl=en",
          "cites_id": "14252090027271643524"
        },
        "versions": {
          "total": "All 31 versions",
          "link": "https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=14252090027271643524",
          "scrapingdog_link": "https://api.scrapingdog.com/google_scholar?api_key=64ba3a568de9be3484544209&cluster=14252090027271643524&hl=en",
          "cluster_id": "14252090027271643524"
        }
      }
    ]
  }
}

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